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    <title>WeClone - 创建您的个性化数字分身</title>
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                    <h1 class="text-4xl md:text-5xl lg:text-6xl font-bold leading-tight mb-6">
                        创建您的<span class="text-indigo-200">个性化数字分身</span>
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                    <p class="text-xl md:text-2xl text-indigo-100 mb-8">
                        通过微信聊天记录和语音消息微调AI模型，打造独一无二的数字克隆
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                    <div class="flex flex-col sm:flex-row space-y-4 sm:space-y-0 sm:space-x-4">
                        <a href="https://github.com/xming521/WeClone" class="bg-white text-indigo-600 hover:bg-indigo-50 font-semibold py-3 px-6 rounded-lg transition duration-300 flex items-center justify-center">
                            <i class="fab fa-github mr-2 text-xl"></i> GitHub 仓库
                        </a>
                        <a href="#quick-start" class="bg-indigo-800 hover:bg-indigo-700 text-white font-semibold py-3 px-6 rounded-lg transition duration-300 flex items-center justify-center">
                            <i class="fas fa-rocket mr-2"></i> 快速开始
                        </a>
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                <span class="badge bg-indigo-100 text-indigo-800 mb-4">问题与解决方案</span>
                <h2 class="text-3xl md:text-4xl font-bold mb-6">它能解决什么问题？</h2>
                <p class="max-w-3xl mx-auto text-lg text-gray-600">
                    创建个性化 AI 助手时，用户常面临数据收集复杂、模型微调技术门槛高、以及语音克隆效果不佳的痛点。
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                    <div class="feature-icon bg-purple-100 text-purple-600">
                        <i class="fas fa-database text-2xl"></i>
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                    <h3 class="text-xl font-semibold mb-3">数据收集复杂</h3>
                    <p class="text-gray-600">
                        现有工具往往需要手动处理聊天数据，导致效率低下且容易出错。
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